case5_first_pd1_model

Inputs

Outputs

from spl import SPLClient

result = SPLClient.embedded().call(
    "splime://@splime.project/case5-validation-20261011/case5_first_pd1_model@3",
    kwargs={},
    trust=True,
)

Review before running. Public bundles contain executable code. Verify the publisher and exact content hash; a virtual environment isolates dependencies, not the operating system.

Evidence

Evidence-backed concepts

• Case5 first pd1 model
• Exact rules
• Schema embedded immutable release
• Retrieve fitted first
• Scikit learn
• Structured JSON
• Numerical arrays
• Tabular analysis

• v311 Oct 20266 downloads
• v111 Oct 20260 downloads

• case5_first_pd1_predictApply the fitted first_pd1 rules embedded in this release. Returns application IDs, predicted classes, probabilities and segments. No caller-side model file or retraining is required.
• rule_inspect_modelValidate and inspect a caller-supplied JSON rule model, classes, rules and feature schema.
• rule_evaluateEvaluate a fixed fitted model on development and independent holdout without changing the selected rules.
• find_rulesSearch numeric classification rules with a dataset and target column. Skip unsupported columns and return their names and reasons in unusable_columns, alongside the model, predictions and holdout metrics.
• rule_finalizeProduce a JSON model, exact rules, leaderboard, metrics and audit; omit the intermediate training table.